Where else in the U.S. can you find hundreds of projects and vehicle automation budgets under the same roof?

Get involved as a business partner as our events are a one-stop-shop opportunity to promote thought-leadership and get face-to-face with over 250 key prospects. The Automotive Tech.AD offers the best in class opportunity to introduce yourself as a thought leader to ADAS and automation executives.

Get involved as a business partner as our events are a one-stop-shop opportunity to promote thought-leadership and get face-to-face with over 250 key prospects. The Automotive Tech.AD offers the best in class opportunity to introduce yourself as a thought leader to ADAS and automation executives.

Highlight Speakers 2017

Prof. Dr. Thomas Form, Head of Electrics/Electronics, Volkswagen AG

Born 1959, Thomas Form studied Electrical Engineering at the University of Braunschweig, Germany, joined the Institute for Communication Engineering as research fellow in 1987 and received his Ph.D. in 1992. Up to 2002 he worked as a senior engineer in the Centre for Electromagnetic Compatibility of Volkswagen AG. In 2002 Dr. Form was appointed as the head of Telephone-/Telematic- and Antenna systems development. He became a professor for „electronic vehicle systems“ in the Institute of Control Engineering at the Technical University Braunschweig in 2005 and participated with the CAROLO-Team in the finals of the DARPA URBAN Callenge 2007. From 2007 to 2009 he was responsible for concept development, module- and project management in the VW Electric/Electronic development. Since 2009 he is the head of the “Electronics and Vehicle Research” within Volkswagen Group research. Memberships: IEEE Member, VDI FVT (advisory board) and VDE GMM (Member of the board)

The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Audi, SEAT, ŠKODA, Bentley, Bugatti, Ducati, Lamborghini, Volkswagen Commercial Vehicles, Scania and MAN. The Group operates 94 production plants in 18 European countries and a further eight countries in the Americas, Asia and Africa. Each working day, 501,956 employees worldwide produce some 34,500 vehicles, are involved in vehicle-related services or work in the other fields of business. The Volkswagen Group sells its vehicles in 153 countries. It is the goal of the Group to offer attractive, safe and environmentally sound vehicles which are competitive on an increasingly tough market and which set world standards in their respective classes.

Mac Graham, CEO/Founder, TrustCentral

TrustCentral is Mac Graham’s 5th tech startup. 18 years ago Mac created his first “IoT device”. Starting with dumb HP printer-copier-faxes, Mac designed and integrated computing, sensing & reporting capabilities into each device. These “IoT devices” were installed in all 3,000 Venetian Resort suites for its 1999 opening (and later, into numerous other hotels). Mac’s last tech startup was acquired by Intuit before he could launch it.

TrustCentral responds to the challenge of “Trusted transactions require trusted provenance”. Trusted transactions and records from IoT devices are required for blockchain and other databases. Blockchain records may be immutable, but if one can’t trust their provenance, how valuable are they? Trusted provenance can be provided through the TrustCentral Security Ecosystem and its Trust Stack

Dr. Sven A. Beiker is the Founder and Managing Director of Silicon Valley Mobility, a consulting and advisory firm serving startups, venture / consulting firms, and corporations to understand trends in mobility. The firm specializes in market sizing and implementation roadmaps for mobility topics. Dr. Beiker brings to bear his well over 20 years of experience gained during his tenure at McKinsey & Company, Stanford University, and the BMW Group. In addition to his consulting business, Dr. Beiker is a Lecturer at the Graduate School of Business at Stanford University where he instructs students on strategies for startups and corporations in the field of automated, connected, electrified, and shared mobility. He also serves as the Automotive / Mobility Advisor for the German American Chamber of Commerce in San Francisco and as a member of the Scientific Advisory Board for the Lecture Notes in Mobility of Springer Science+Business Media.

The Stanford Graduate School of Business empowers individuals to envision what is possible and make it happen through principled leadership and creative problem solving. The school has built a global reputation based on its management and leadership programs, including the two-year MBA; the one-year MSx Program; the PhD Program; Stanford Ignite, a part-time program in innovation and entrepreneurship; and Executive Education. Each program creates an experience that transforms people and prepares them to change lives, change organizations, and change the world. Programs engage the highest quality students with world-class faculty from across Stanford University’s seven schools, as well as alumni, Silicon Valley professionals, global executives, and the broader world community. The state-of-the-art Knight Management Center offers flexible classroom spaces for hands-on experiential learning, small-group leadership labs, and team-based learning. It also serves as a convening space for major forums and discussions.

Mr. Mohammad Poorsartep is currently Manager Advanced Engineering at Valeo North America. He was previously a Research Scientist at the Texas A&M Transportation Re-search Institute where he also served as Project Manager for TTI's Connected Transportation Initiative. In thisposition, he led TTI's activities further into the emerging areas of automated and autonomous vehicles technology. Mr. Poorsartep has extensive back-ground in working with construction, telecommunications, automotive, and defense indus-tries. Prior to his current position, he worked for University of Michigan as a project manager where he led the activities of the Connected Vehicle Proving Center (CVPC) in conducting research projects sponsored by automotive manufacturers and suppliers, Department of Transportation, Department of Defense, and more.

Valeo is an automotive supplier, partner to all automakers worldwide. As a technology company, Valeo proposes innovative products and systems that contribute to the reduction of CO2 emissions and to the development of intuitive driving. In 2016, the Group generated sales of 16.5 billion euros and invested over 11% of its original equipment sales in Research and Development. Valeo has 155 plants, 20 research centers, 38 development centers and 15 distribution platforms, and employs 91,800 people in 32 countries worldwide. Valeo is listed on the Paris stock exchange and is a member of the CAC 40 index. Specialties: Comfort and Driving Assistance Systems, Powertrain Systems, Thermal Systems, Visibility Systems, and Aftermarket

Mohsen Hejrati, Founder, Good AI Lab

Sagar Behere leads mechatronics architecture and systems engineering at Zoox Labs Inc., California. He also conducts doctoral research at KTH The Royal Institute of Technology in Stockholm, Sweden with a prior Master degree in Systems, Control, and Robotics. Sagar has experience in the engineering of complex, safety critical autonomous systems, especially in the automotive domain. His doctoral research combines theories from the domains of industrial mechatronics, artificial intelligence, and machine consciousness to create architectures for applied machine intelligence.

Zoox Labs Inc., California, is engaged in the business of developing novel, autonomous transportation systems for future robotic mobility.

Dr. Brendan Chan is a Technical Specialist for Vehicle Dynamics at Navistar, Inc. In his current role, he is responsible for the development and analysis of advanced real-time/non-realtime vehicle dynamics models and advanced vehicle testing development for safety systems and ADAS. Prior to this, he was responsible for design, development and maintenance of real-time capable commercial vehicle systems simulation systems at Bendix.

His experience includes Tractor and Trailer Electronic Stability Control, Antilock Braking Systems, Collision Mitigation Systems and Advanced Air Treatment Systems. Dr. Chan is an associate editor for the SAE International Journal of Commercial Vehicles and has authored numerous technical papers, reports, and presentations in topics related to advanced technologies for ground vehicles. He is received the SAE Forest R. McFarland Award in 2012 and was a recipient of the Navistar StarPower Award in 2013 for his contributions in delivering the best-in-class Medium Duty TerraStar Truck.

Navistar International Corporation (NYSE: NAV) is a holding company whose subsidiaries and affiliates produce International® brand commercial and military trucks, and IC Bus™ brand school and commercial buses. The company also provides truck and diesel engine service parts and financing services. Navistar has four operating segments: North America Truck, North America Parts, Global Operations and Financial Services.

Oliver Rumpf-Steppat, Head of Product Requirements, Development and Connected Drive US, BMW of North America, LLC

Head of Product Requirements, Development and Connected Drive US, BMW of North America, LLC, August 2015 – Today
Head of Product Cost Optimization Interieur and Electric/Electronics, BMW Group, December 2014 – July 2015
Head of technical product management electrics/electronics and driver environment, BMW Group, November 2013 – November 2014
Head of instrument cluster, displays and composite displays, BMW AG, November 2011 – November 2013
Chief Engineer Electrics/Electronics and driver environment, BMW Group, July 2008 – October 2011
Head of electric/electronic architecture (base segment), BMW Group, August 2007 – July 2008
Head of electric/electronic System Integration, BMW Group, November 2003 – June 2007
Head of Mid Platform Information and Communication, BMW Group, March 2002 – October 2003
Head of Electric/Electronic Strategy, BMW Group, Januar< 2001 – February 2002
Manager for organization and inhouse consulting, BMW Group, March 1998 – December 2000
Expert for integration of CASE tools in the E/E development process, BMW Group, January 1995 – February 1998
Industrial PHD Student, BMW Group, July 1992 – December 1994

Because we've always been unwilling to compromise, we've managed to build vehicles that thrill drivers. We have the autonomy to stand behind the leading-edge concepts of our designers and engineers. As an independent company, we make sure great ideas live on to become Ultimate Driving Machines. BMW of North America, LLC has been present in the United States since 1975. Rolls-Royce Motor Cars NA, LLC began distributing vehicles in 2003. The BMW Group in the United States has grown to include marketing, sales, and financial service organizations for the BMW brand of motor vehicles, including motorcycles, the MINI brand, and the Rolls-Royce brand of Motor Cars; DesignworksUSA, a strategic design consultancy in California; a technology office in Silicon Valley and various other operations throughout the country.
BMW Manufacturing Co., LLC in South Carolina is part of BMW Group’s global manufacturing network and is the exclusive manufacturing plant for all X5 and X3 Sports Activity Vehicles and X6 and X4 Sports Activity Coupes.
The BMW Group sales organization is represented in the U.S. through networks of 339 BMW passenger car and BMW Sports Activity Vehicle centers, 139 BMW motorcycle retailers, 120 MINI passenger car dealers, and 32 Rolls-Royce Motor Car dealers. BMW (US) Holding Corp., the BMW Group’s sales headquarters for North America, is located in Woodcliff Lake, New Jersey.

Alain Kornhauser is Professor of Operations Research & Financial Engineering at Princeton University. He serves as Director of the Transportation Program where he continues his basic research in Transportation focused on the real-time operation of large fleets of driverless vehicles and on the development of Deep-Learning Neural Networks that safely drive road vehicles. He was the Faculty Leader of Princeton’s entries the 2005 DARPA Grand Challenge and 2007 Urban Challenge and continues his interest in the complete automation of the automobile with particular interest in the autonomousTaxi concept and its potential to transform mass transit and deliver ubiquitous mobility to everyone. He is Faculty Chair of Princeton Autonomous Vehicle Engineering (PAVE) an extracurricular undergraduate Smart Driving Car research effort at Princeton, Editor of the Smart Driving Cars Newsletter and Board Chair of the Advanced Transit Association (ATRA). He is currently in the process of creating a major Center for Automated Road Transportation Safety. In addition to his teaching and research duties he serves as the ORFE’s Department’s Director of Undergraduate Studies.

Princeton Autonomous Vehicle Engineering (PAVE) is an undergraduate student-led research group at Princeton University dedicated to advancing and promoting the field of robotics through competitive challenges, self-guided research and community outreach while providing extracurricular learning and leadership opportunities to student members.
Princeton Autonomous Vehicle Engineering (PAVE) has its origins in the Spring of 2004. A group of students in Professor Alain Kornhauser’s Transportation class watched the unfolding of the 2004 DARPA Grand Challenge, in which no team traveled more than 7.5 miles on the 150+ mile course, and decided that they could put together a DARPA Grand Challenge team at Princeton that could be competitive.
The Princeton team successfully competed in the 2005 DARPA Grand Challenge with Prospect Eleven, passing numerous qualification steps and seeding 10th out of 23 finalists. Following the 2005 Challenge, the team continued to improve the hardware and software systems on Prospect Eleven.
In the Spring of 2006, the DARPA Urban Challenge was announced, to take place in October, 2007. Through the generosity of Ford Motor Company, PAVE acquired a vehicle, named Prospect Twelve, for the Urban Challenge in February, 2007. PAVE again passed several qualification procedures and was among 35 teams at the semifinals of the Urban Challenge. After the Urban Challenge, DARPA announced no plans for further competitions. Instead, PAVE elected to compete in the 2008 Intelligent Ground Vehicle Competition (IGVC), held in May, 2008.
At the 2008 IGVC, PAVE won 1st place for our technical paper (PDF) and design presentation, 4th place in a waypoint-following challenge and 6th place in the lane-following challenge. Overall, PAVE finished 3rd out of 47 teams and won rookie-of-the-year.
PAVE returned to the IGVC in 2009 with Argos, an entirely new, redesigned robot. The team won first place in the navigation (waypoint-following) challenge.
For the 2010 IGVC, the team once again built Phobetor, a new robot based on the design of Argos. The team was awarded 2nd place in the design challenge and won acclaim for its robot design and technical paper. 2010 is also the year that PAVE began working on the ARM (Autonomous Robotic Manipulator).
PAVE continues to work on Prospect 12 and Phobetor, focusing on refining and improving the systems developed for the Urban Challenge and IGVC. Our goal is to have Prospect Twelve successfully pass the NJ State drivers’ exam, thereby becoming the first car to obtain its own drivers license. We are currently in the midst of a fundamental redesign of Prospect 12, so this should be an exciting year.

Paul Liu, Director, Automotive Architecture, Renovo.Auto

Paul Liu, Director of Automotive Architecture, Renovo
Renovo is a mobility software company accelerating innovation in Automated Mobility on Demand (AMoD). Their scalable platform merges software, data analytics, and automotive-grade safety systems into a unified solution for AMoD deployments. The company combines Silicon Valley agility with proven automotive capabilities, united through a singular commitment to transform the way people and things move.

Paul Liu is Director of Automotive Architecture at Renovo. Paul joined the company after 23 years of experience in both the semiconductor and transportation industries, and is currently developing vehicle-based products to support AMoD systems. He has published papers and made presentations at the SAE World Congress and other industry publications and events. Paul owns a commercial nut farm, where he tests his development of autonomous farming equipment. He also volunteers for the Boy Scouts, works as a Sunday School teacher, and mentors robotics and statistics students in Middle and High School. As well as being a member of the Society of Automotive Engineers, Project Management Institute, and the Association of Professional Engineers of British Columbia Paul holds a B.A.Sc. In Electrical Engineering from The University of British Columbia and an Executive M.B.A from Simon Fraser University."

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Tech.AD Key Topics

Will software be the future differentiator of automated cars? In addition, what does it needs? Scalable, platform-independent software architectures for ADAS and automated driving - Is the V Model still valid or do we need to restructure the development process?

Fail-operational automated driving architectures – What are the challenges in development and testing? In addition in which extent will the number of test cases increase with a higher level automation?

How does automated driving impact the user experience? Autonomous driving from an end-user and usability perspective

Deep Driving - Artificial intelligence, Deep Learning & Deep Driving in Automotive - What are state of the art algorithms for computer vision and machine learning including those most important for the automotive industry?

What are the newest concepts, challenges, use cases & game changers to the new AUTOSAR Adaptive Platform for Connected and Autonomous Vehicles?

Safety and Risk Issues for Self Driving Cars - Consider the requirements of cyber security in a variety of system layouts e.g. integrated network and centralised processor, to establish what layout offers the most secure architecture

Ergonomic Design of the Vehicle Motion in an Automated Driving Car - What is a concept for the design of an automated driving system that uses the driver's motion perception to feed back the automation system's state and intention & which design & interaction concept do we need in which level of automation according to SAE?

Embracing the ecosystem of Automated Mobility on demand - Explore how Automated Mobility on Demand (AMoD) will fill societal gaps for first mile and last mile public transportation, redefining the field of mobility

Will software be the future differentiator of automated cars? In addition, what does it needs? Scalable, platform-independent software architectures for ADAS and automated driving - Is the V Model still valid or do we need to restructure the development process?

Fail-operational automated driving architectures – What are the challenges in development and testing? In addition in which extent will the number of test cases increase with a higher level automation?

How does automated driving impact the user experience? Autonomous driving from an end-user and usability perspective

Deep Driving - Artificial intelligence, Deep Learning & Deep Driving in Automotive - What are state of the art algorithms for computer vision and machine learning including those most important for the automotive industry?

What are the newest concepts, challenges, use cases & game changers to the new AUTOSAR Adaptive Platform for Connected and Autonomous Vehicles?

Safety and Risk Issues for Self Driving Cars - Consider the requirements of cyber security in a variety of system layouts e.g. integrated network and centralised processor, to establish what layout offers the most secure architecture

Ergonomic Design of the Vehicle Motion in an Automated Driving Car - What is a concept for the design of an automated driving system that uses the driver's motion perception to feed back the automation system's state and intention & which design & interaction concept do we need in which level of automation according to SAE?

Embracing the ecosystem of Automated Mobility on demand - Explore how Automated Mobility on Demand (AMoD) will fill societal gaps for first mile and last mile public transportation, redefining the field of mobility

Artificial Intelligence for Autonomous Systems: Hype vs. Reality

Go to Technical Topics

The Tech.AD Technical Sessions

What is a highly scalable architecture and function path from Assisted to Automated Driving?

What is the potential role of the tire technology for safe autonomous driving? How can the tire sensor enhance automated driving?

On-The-Road Beta Testing and verification for autonomous driving – What are the challenges? In addition, how can recent advances in modeling, verification, and implementation technologies simultaneously reduce and accelerate the required testing and verification effort?

What are the requirements future complexity driven by Level 3 & 4 automation?

Architecture needs for automated driving - How do you envisage the architecture that will need to be implemented to deliver automated driving (Level 3 and above)?

Vehicle Automation and the importance of Radar Sensors - Why is environmental perception and understanding of the backbone of driverless cars important?

Expectations on AI - Detection and recognition of multiple objects, improved perception, reduced power consumption, improved object classification, recognition and prediction of actions, and reduction of development time of ADAS systems.

Deep learning architecture in embedded systems

Go to Business Topics

The Tech.AD Technical Sessions

What is a highly scalable architecture and function path from Assisted to Automated Driving?

What is the potential role of the tire technology for safe autonomous driving? How can the tire sensor enhance automated driving?

On-The-Road Beta Testing and verification for autonomous driving – What are the challenges? In addition, how can recent advances in modeling, verification, and implementation technologies simultaneously reduce and accelerate the required testing and verification effort?

What are the requirements future complexity driven by Level 3 & 4 automation?

Architecture needs for automated driving - How do you envisage the architecture that will need to be implemented to deliver automated driving (Level 3 and above)?

Vehicle Automation and the importance of Radar Sensors - Why is environmental perception and understanding of the backbone of driverless cars important?

Expectations on AI - Detection and recognition of multiple objects, improved perception, reduced power consumption, improved object classification, recognition and prediction of actions, and reduction of development time of ADAS systems.

What our attendees say and why they love attending our conferences…

Movers & Shakers

“Great place to learn and share new ideas, technologies and interests”Karteek Kesavamatham, ZF TRW

“A terrific way to connect with experts in the field, get a precise overview of current advances and catch a glimpse of the future of ADAS together”Stanford University

“A professional and relaxed atmosphere for interesting discussions”Daimler

“Engaging & enlightening discussions & presentations”Ford

“An outstanding collection of the key players from the industry! This event touches upon all angels of autonomous driving”Massachusetts Institute of Technology (MIT)

Automotive Tech.AD fuels you with new ideas, new connections and new inspiration.

From engineers to product manager, from ADAS specialists to vehicle control, dynamics and chassis systems executives. From V2X and sensor fusion engineers to software developers and HMI masters - whatever hat you wear or wherever you stand on the spectrum of autonomous driving, the conference has something of interest for you. Join over 250 of the most influentialpractitioners and experts!

It’s a Multi-touchpoint Concept

The most effective and most informal networking hub to reach a maximum of ROI ‒ personal dialogue, direct exchange and numerous opportunities to get meetings with top executives!

Icebreaker

Round tables on the evening before the first conference day. The Icebreaker is a first informal networking.

Keynote

Top speakers, trendsetters, evangelists and experts in the field share their personal experience.

World Café Session

Be part of several thematic conversation rounds with changing topics and team constellations.

Networking Dinner

Wind down, enjoy great food and drink in a relaxed atmosphere to absorb all the new stimulations from the day.

Tweetback & Comments

The unique interactive live feedback system! Note down your thoughts on comment cards which will be pinned on walls in the networking area for further discussion.

Say Hello?

Get the show on the road. Discover who is joining the conference and why. To warm you up for the conference we invite you to get to know your conference peers. Have your business cards ready.

Breakfast Club

Start the conference with coffee, scrambled egg and … NETWORKING! Join the we.CONECT Breakfast Club – an exclusive area in your hotel – and get into a conversation with other delegates already while having your first coffee.

Case Study

Selected brand new case studies from the industry offering insights into strategic approaches, project planning and operative realization. Learn from the most successful practices and use these real business results for benchmarking with the competition.

Challenge your Peers

Challenge Your Peers is an innovative workshop concept which enables participants to engage in a direct exchange with experts from a certain industry. The aim is to discuss and to identify challenges within the sector as well as problems, needs and solutions

The Automotive Tech.AD Detriot 2017 was a huge success and once again the meeting point for all automation & connectivity experts from the automotive industry.
We would like to thank all our delegates, speakers and business partners for making it such a great event.

Save the date for 2018! – The Automotive Tech.AD Detriot will come back to Berlin on November 14-16, 2018. More information will be announced soon. Stay tuned here on this webiste.